Discussions at Mobile World Congress 2026 in Barcelona, specifically during Huawei's Digital Finance session, brought the future of banking into sharp focus, moving beyond traditional digital channels and mobile apps to the transformative power of artificial intelligence. Under the theme “Powering Resilient Intelligence, Co-creating Finance Future,” Huawei unveiled upgrades to its Banking AI and Foundation Model Solutions, signaling the industry's next phase of transformation. The event gathered financial institutions and technology partners to explore how AI is fundamentally reshaping modern banking operations.

Alvin Feng, President of International Financial Business at Huawei’s Digital Finance division, delivered a keynote highlighting the escalating role of AI in banking. He noted that while the past two decades concentrated on digital optimization – through online banking, mobile services, and data platforms – AI now paves the way for a deeper, more pervasive transformation across every level of banking. Feng articulated that "AI is becoming the defining force reshaping the global financial industry," influencing everything from customer engagement and risk management to internal decision-making.

Banking is currently undergoing another significant technological transition, following previous waves of automation, internet banking, and mobile technology. The increasing adoption of AI compels banks to rethink service delivery and internal workflows. Customer interactions are evolving from structured forms to conversational interfaces that interpret everyday language. Personalization, once reserved for high-value clients, is now democratized by AI systems analyzing vast datasets, enabling tailored insights for a much broader customer base. Internally, AI agents are augmenting staff in tasks such as reviewing applications, analyzing documents, and identifying unusual transaction activity. This shift, as Alvin described, spans customer interactions, human-machine collaboration, decision-making, system architecture, and overall customer experience.

A central theme of the session was the increasing integration of technology into the core of business strategy. Previously seen as mere infrastructure, technology, especially AI, is now recognized as a driver of growth and competitiveness. Alvin Feng underscored the necessity for financial institutions to forge a clearer link between business goals and technology deployment, a gap many are actively working to close. To address this, Huawei introduced the Intelligent Finance Value Implementer framework. This model assists institutions in identifying impactful AI scenarios, designing supportive enterprise architectures, and deploying intelligent systems in alignment with long-term business priorities. Projects focusing on customer experience, risk control, and operational efficiency are often prioritized for immediate impact, after which AI capabilities can be expanded. Feng emphasized, "Technology is no longer a support function. It is now a value center at the heart of the business."

Several real-world applications demonstrated AI's current impact in banking. For credit card applications, AI-assisted systems can perform initial document reviews in roughly twenty seconds with over 95% optical character recognition accuracy, a task that traditionally took staff twenty minutes. Conversational services, powered by natural language interfaces and specialized AI agents, allow customers to interact with digital assistants for tasks like checking balances or exploring investments. These systems learn from user behavior, offering adaptive, personalized experiences. In small and medium enterprise (SME) lending, some banks are experimenting with AI agents that simulate roles to support relationship managers, operations teams, and risk analysts, significantly reducing information gathering and recommendation preparation time, while maintaining essential human oversight. The key to AI banking, as Huawei noted, lies in unifying AI infrastructure with open ecosystems and reengineering processes through human-AI collaboration.

Underpinning these advanced applications is a robust technical foundation capable of meeting stringent requirements for reliability, security, and performance. Huawei introduced several infrastructure upgrades at the Digital Finance session, including the SuperPoD computing platform, an AI data platform, and the Xinghe AI network architecture. These systems are designed to provide the necessary computing capacity and connectivity for demanding AI workloads in financial services. Engineering optimizations were also highlighted, with Huawei reporting that new techniques have reduced AI agent development cycles from months to weeks, simultaneously improving prompt accuracy and lowering end-to-end processing latency, crucial for large banks integrating new technologies with existing core systems.

Recognizing that no single provider can tackle the complexity of financial services alone, Huawei stressed the importance of industry collaboration through its RongHai partner program. This initiative unites over 150 solution partners and more than 11,000 consulting, sales, and service partners globally, fostering joint development of financial solutions. This ecosystem allows banks to deploy tailored solutions that adhere to specific regulatory environments while leveraging shared expertise. Huawei’s digital finance business currently supports thousands of financial institutions across over eighty countries. The MWC session underscored that with AI expanding into traditionally human-centric areas, the industry is at a new turning point, discovering innovative ways to serve customers, manage risk, and enhance operational efficiency. Alvin Feng's closing observation reiterated the profound shift underway in the sector.